Reporte de Datos

Dataset statistics

Number of variables	11
Number of observations	699
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	8
Duplicate rows (%)	1.1%
Total size in memory	60.2 KiB
Average record size in memory	88.2 B

Variable types

Numeric	9
Categorical	2

Alerts

Dataset has 8 (1.1%) duplicate rows	Duplicates
`Clump Thickness` is highly overall correlated with `Uniformity of Cell Size` and 6 other fields	High correlation
`Uniformity of Cell Size` is highly overall correlated with `Clump Thickness` and 7 other fields	High correlation
`Uniformity of Cell Shape` is highly overall correlated with `Clump Thickness` and 6 other fields	High correlation
`Marginal Adhesion` is highly overall correlated with `Clump Thickness` and 6 other fields	High correlation
`Single Epithelial Cell Size` is highly overall correlated with `Clump Thickness` and 6 other fields	High correlation
`Bland Chromatin` is highly overall correlated with `Clump Thickness` and 6 other fields	High correlation
`Normal Nucleoli` is highly overall correlated with `Clump Thickness` and 7 other fields	High correlation
`Mitoses` is highly overall correlated with `Uniformity of Cell Size` and 2 other fields	High correlation
`Bare Nuclei` is highly overall correlated with `Class`	High correlation
`Class` is highly overall correlated with `Clump Thickness` and 8 other fields	High correlation

Reproduction

Analysis started	2023-02-14 01:14:04.136694
Analysis finished	2023-02-14 01:15:59.434174
Duration	1 minute and 55.3 seconds
Software version	pandas-profiling v3.6.6
Download configuration	config.json

Sample code number
Real number (ℝ)

Distinct	645
Distinct (%)	92.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1071704.1

Minimum	61634
Maximum	13454352
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	61634
5-th percentile	411453
Q1	870688.5
median	1171710
Q3	1238298
95-th percentile	1333890.8
Maximum	13454352
Range	13392718
Interquartile range (IQR)	367609.5

Descriptive statistics

Standard deviation	617095.73
Coefficient of variation (CV)	0.57580794
Kurtosis	257.71716
Mean	1071704.1
Median Absolute Deviation (MAD)	104381
Skewness	13.675326
Sum	7.4912116 × 10⁸
Variance	3.8080714 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1182404	6	0.9%
1276091	5	0.7%
1198641	3	0.4%
897471	2	0.3%
1116192	2	0.3%
385103	2	0.3%
411453	2	0.3%
1293439	2	0.3%
1143978	2	0.3%
560680	2	0.3%
Other values (635)	671	96.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
61634	1	0.1%
63375	1	0.1%
76389	1	0.1%
95719	1	0.1%
128059	1	0.1%
142932	1	0.1%
144888	1	0.1%
145447	1	0.1%
160296	1	0.1%
167528	1	0.1%

Value	Count	Frequency (%)
13454352	1	0.1%
8233704	1	0.1%
1371920	1	0.1%
1371026	1	0.1%
1369821	1	0.1%
1368882	1	0.1%
1368273	1	0.1%
1368267	1	0.1%
1365328	1	0.1%
1365075	1	0.1%

Clump Thickness
Real number (ℝ)

Distinct	10
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.4177396

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	4
Q3	6
95-th percentile	10
Maximum	10
Range	9
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.8157407
Coefficient of variation (CV)	0.63737135
Kurtosis	-0.62371541
Mean	4.4177396
Median Absolute Deviation (MAD)	2
Skewness	0.59285853
Sum	3088
Variance	7.9283955
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	145	20.7%
5	130	18.6%
3	108	15.5%
4	80	11.4%
10	69	9.9%
2	50	7.2%
8	46	6.6%
6	34	4.9%
7	23	3.3%
9	14	2.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	145	20.7%
2	50	7.2%
3	108	15.5%
4	80	11.4%
5	130	18.6%
6	34	4.9%
7	23	3.3%
8	46	6.6%
9	14	2.0%
10	69	9.9%

Value	Count	Frequency (%)
10	69	9.9%
9	14	2.0%
8	46	6.6%
7	23	3.3%
6	34	4.9%
5	130	18.6%
4	80	11.4%
3	108	15.5%
2	50	7.2%
1	145	20.7%

Uniformity of Cell Size
Real number (ℝ)

Distinct	10
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.1344778

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	5
95-th percentile	10
Maximum	10
Range	9
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.0514591
Coefficient of variation (CV)	0.97351434
Kurtosis	0.098802885
Mean	3.1344778
Median Absolute Deviation (MAD)	0
Skewness	1.2331366
Sum	2191
Variance	9.3114027
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	384	54.9%
10	67	9.6%
3	52	7.4%
2	45	6.4%
4	40	5.7%
5	30	4.3%
8	29	4.1%
6	27	3.9%
7	19	2.7%
9	6	0.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	384	54.9%
2	45	6.4%
3	52	7.4%
4	40	5.7%
5	30	4.3%
6	27	3.9%
7	19	2.7%
8	29	4.1%
9	6	0.9%
10	67	9.6%

Value	Count	Frequency (%)
10	67	9.6%
9	6	0.9%
8	29	4.1%
7	19	2.7%
6	27	3.9%
5	30	4.3%
4	40	5.7%
3	52	7.4%
2	45	6.4%
1	384	54.9%

Uniformity of Cell Shape
Real number (ℝ)

Distinct	10
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.2074392

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	5
95-th percentile	10
Maximum	10
Range	9
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.9719128
Coefficient of variation (CV)	0.9265687
Kurtosis	0.00701098
Mean	3.2074392
Median Absolute Deviation (MAD)	0
Skewness	1.1618592
Sum	2242
Variance	8.8322655
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	353	50.5%
2	59	8.4%
10	58	8.3%
3	56	8.0%
4	44	6.3%
5	34	4.9%
6	30	4.3%
7	30	4.3%
8	28	4.0%
9	7	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	353	50.5%
2	59	8.4%
3	56	8.0%
4	44	6.3%
5	34	4.9%
6	30	4.3%
7	30	4.3%
8	28	4.0%
9	7	1.0%
10	58	8.3%

Value	Count	Frequency (%)
10	58	8.3%
9	7	1.0%
8	28	4.0%
7	30	4.3%
6	30	4.3%
5	34	4.9%
4	44	6.3%
3	56	8.0%
2	59	8.4%
1	353	50.5%

Marginal Adhesion
Real number (ℝ)

Distinct	10
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.806867

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	4
95-th percentile	10
Maximum	10
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.8553792
Coefficient of variation (CV)	1.0172834
Kurtosis	0.98794707
Mean	2.806867
Median Absolute Deviation (MAD)	0
Skewness	1.5244681
Sum	1962
Variance	8.1531906
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	407	58.2%
3	58	8.3%
2	58	8.3%
10	55	7.9%
4	33	4.7%
8	25	3.6%
5	23	3.3%
6	22	3.1%
7	13	1.9%
9	5	0.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	407	58.2%
2	58	8.3%
3	58	8.3%
4	33	4.7%
5	23	3.3%
6	22	3.1%
7	13	1.9%
8	25	3.6%
9	5	0.7%
10	55	7.9%

Value	Count	Frequency (%)
10	55	7.9%
9	5	0.7%
8	25	3.6%
7	13	1.9%
6	22	3.1%
5	23	3.3%
4	33	4.7%
3	58	8.3%
2	58	8.3%
1	407	58.2%

Single Epithelial Cell Size
Real number (ℝ)

Distinct	10
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.2160229

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	4
95-th percentile	8
Maximum	10
Range	9
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.2142999
Coefficient of variation (CV)	0.68852118
Kurtosis	2.1690664
Mean	3.2160229
Median Absolute Deviation (MAD)	0
Skewness	1.7121718
Sum	2248
Variance	4.903124
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2	386	55.2%
3	72	10.3%
4	48	6.9%
1	47	6.7%
6	41	5.9%
5	39	5.6%
10	31	4.4%
8	21	3.0%
7	12	1.7%
9	2	0.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	47	6.7%
2	386	55.2%
3	72	10.3%
4	48	6.9%
5	39	5.6%
6	41	5.9%
7	12	1.7%
8	21	3.0%
9	2	0.3%
10	31	4.4%

Value	Count	Frequency (%)
10	31	4.4%
9	2	0.3%
8	21	3.0%
7	12	1.7%
6	41	5.9%
5	39	5.6%
4	48	6.9%
3	72	10.3%
2	386	55.2%
1	47	6.7%

Bare Nuclei
Categorical

Distinct	11
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	5.6 KiB

1	402
10	132
2	30
5	30
3	28
Other values (6)	77

Length

Max length	2
Median length	1
Mean length	1.1888412
Min length	1

Characters and Unicode

Total characters	831
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	10
3rd row	2
4th row	4
5th row	1

Common Values

Value	Count	Frequency (%)
1	402	57.5%
10	132	18.9%
2	30	4.3%
5	30	4.3%
3	28	4.0%
8	21	3.0%
4	19	2.7%
?	16	2.3%
9	9	1.3%
7	8	1.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1	402	57.5%
10	132	18.9%
2	30	4.3%
5	30	4.3%
3	28	4.0%
8	21	3.0%
4	19	2.7%
	16	2.3%
9	9	1.3%
7	8	1.1%

Most occurring characters

Value	Count	Frequency (%)
1	534	64.3%
0	132	15.9%
2	30	3.6%
5	30	3.6%
3	28	3.4%
8	21	2.5%
4	19	2.3%
?	16	1.9%
9	9	1.1%
7	8	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	815	98.1%
Other Punctuation	16	1.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	534	65.5%
0	132	16.2%
2	30	3.7%
5	30	3.7%
3	28	3.4%
8	21	2.6%
4	19	2.3%
9	9	1.1%
7	8	1.0%
6	4	0.5%

Other Punctuation

Value	Count	Frequency (%)
?	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	831	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	534	64.3%
0	132	15.9%
2	30	3.6%
5	30	3.6%
3	28	3.4%
8	21	2.5%
4	19	2.3%
?	16	1.9%
9	9	1.1%
7	8	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	831	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	534	64.3%
0	132	15.9%
2	30	3.6%
5	30	3.6%
3	28	3.4%
8	21	2.5%
4	19	2.3%
?	16	1.9%
9	9	1.1%
7	8	1.0%

Bland Chromatin
Real number (ℝ)

Distinct	10
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4377682

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	5
95-th percentile	8
Maximum	10
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.4383643
Coefficient of variation (CV)	0.70928698
Kurtosis	0.18462131
Mean	3.4377682
Median Absolute Deviation (MAD)	1
Skewness	1.0999691
Sum	2403
Variance	5.9456202
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2	166	23.7%
3	165	23.6%
1	152	21.7%
7	73	10.4%
4	40	5.7%
5	34	4.9%
8	28	4.0%
10	20	2.9%
9	11	1.6%
6	10	1.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	152	21.7%
2	166	23.7%
3	165	23.6%
4	40	5.7%
5	34	4.9%
6	10	1.4%
7	73	10.4%
8	28	4.0%
9	11	1.6%
10	20	2.9%

Value	Count	Frequency (%)
10	20	2.9%
9	11	1.6%
8	28	4.0%
7	73	10.4%
6	10	1.4%
5	34	4.9%
4	40	5.7%
3	165	23.6%
2	166	23.7%
1	152	21.7%

Normal Nucleoli
Real number (ℝ)

Distinct	10
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.8669528

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	4
95-th percentile	10
Maximum	10
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3.0536339
Coefficient of variation (CV)	1.0651148
Kurtosis	0.47426868
Mean	2.8669528
Median Absolute Deviation (MAD)	0
Skewness	1.4222613
Sum	2004
Variance	9.32468
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	443	63.4%
10	61	8.7%
3	44	6.3%
2	36	5.2%
8	24	3.4%
6	22	3.1%
5	19	2.7%
4	18	2.6%
7	16	2.3%
9	16	2.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	443	63.4%
2	36	5.2%
3	44	6.3%
4	18	2.6%
5	19	2.7%
6	22	3.1%
7	16	2.3%
8	24	3.4%
9	16	2.3%
10	61	8.7%

Value	Count	Frequency (%)
10	61	8.7%
9	16	2.3%
8	24	3.4%
7	16	2.3%
6	22	3.1%
5	19	2.7%
4	18	2.6%
3	44	6.3%
2	36	5.2%
1	443	63.4%

Mitoses
Real number (ℝ)

Distinct	9
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.5894134

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	5
Maximum	10
Range	9
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.7150779
Coefficient of variation (CV)	1.0790634
Kurtosis	12.657878
Mean	1.5894134
Median Absolute Deviation (MAD)	0
Skewness	3.5606578
Sum	1111
Variance	2.9414923
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1	579	82.8%
2	35	5.0%
3	33	4.7%
10	14	2.0%
4	12	1.7%
7	9	1.3%
8	8	1.1%
5	6	0.9%
6	3	0.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	579	82.8%
2	35	5.0%
3	33	4.7%
4	12	1.7%
5	6	0.9%
6	3	0.4%
7	9	1.3%
8	8	1.1%
10	14	2.0%

Value	Count	Frequency (%)
10	14	2.0%
8	8	1.1%
7	9	1.3%
6	3	0.4%
5	6	0.9%
4	12	1.7%
3	33	4.7%
2	35	5.0%
1	579	82.8%

Class
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.6 KiB

2	458
4	241

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	699
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	458	65.5%
4	241	34.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	458	65.5%
4	241	34.5%

Most occurring characters

Value	Count	Frequency (%)
2	458	65.5%
4	241	34.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	699	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	458	65.5%
4	241	34.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	699	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	458	65.5%
4	241	34.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	699	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	458	65.5%
4	241	34.5%

Auto

Heatmap
Table

	Sample code number	Clump Thickness	Uniformity of Cell Size	Uniformity of Cell Shape	Marginal Adhesion	Single Epithelial Cell Size	Bland Chromatin	Normal Nucleoli	Mitoses	Bare Nuclei	Class
Sample code number	1.000	-0.004	-0.043	-0.060	-0.050	-0.087	-0.096	-0.071	-0.075	0.000	0.000
Clump Thickness	-0.004	1.000	0.666	0.664	0.542	0.584	0.538	0.570	0.419	0.223	0.738
Uniformity of Cell Size	-0.043	0.666	1.000	0.892	0.743	0.787	0.719	0.757	0.509	0.287	0.875
Uniformity of Cell Shape	-0.060	0.664	0.892	1.000	0.712	0.759	0.692	0.725	0.473	0.278	0.860
Marginal Adhesion	-0.050	0.542	0.743	0.712	1.000	0.668	0.625	0.634	0.447	0.263	0.738
Single Epithelial Cell Size	-0.087	0.584	0.787	0.759	0.668	1.000	0.640	0.706	0.480	0.270	0.791
Bland Chromatin	-0.096	0.538	0.719	0.692	0.625	0.640	1.000	0.662	0.387	0.255	0.804
Normal Nucleoli	-0.071	0.570	0.757	0.725	0.634	0.706	0.662	1.000	0.504	0.251	0.768
Mitoses	-0.075	0.419	0.509	0.473	0.447	0.480	0.387	0.504	1.000	0.194	0.519
Bare Nuclei	0.000	0.223	0.287	0.278	0.263	0.270	0.255	0.251	0.194	1.000	0.834
Class	0.000	0.738	0.875	0.860	0.738	0.791	0.804	0.768	0.519	0.834	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	Sample code number	Clump Thickness	Uniformity of Cell Size	Uniformity of Cell Shape	Marginal Adhesion	Single Epithelial Cell Size	Bare Nuclei	Bland Chromatin	Normal Nucleoli	Mitoses	Class
0	1000025	5	1	1	1	2	1	3	1	1	2
1	1002945	5	4	4	5	7	10	3	2	1	2
2	1015425	3	1	1	1	2	2	3	1	1	2
3	1016277	6	8	8	1	3	4	3	7	1	2
4	1017023	4	1	1	3	2	1	3	1	1	2
5	1017122	8	10	10	8	7	10	9	7	1	4
6	1018099	1	1	1	1	2	10	3	1	1	2
7	1018561	2	1	2	1	2	1	3	1	1	2
8	1033078	2	1	1	1	2	1	1	1	5	2
9	1033078	4	2	1	1	2	1	2	1	1	2

	Sample code number	Clump Thickness	Uniformity of Cell Size	Uniformity of Cell Shape	Marginal Adhesion	Single Epithelial Cell Size	Bare Nuclei	Bland Chromatin	Normal Nucleoli	Mitoses	Class
689	654546	1	1	1	1	2	1	1	1	8	2
690	654546	1	1	1	3	2	1	1	1	1	2
691	695091	5	10	10	5	4	5	4	4	1	4
692	714039	3	1	1	1	2	1	1	1	1	2
693	763235	3	1	1	1	2	1	2	1	2	2
694	776715	3	1	1	1	3	2	1	1	1	2
695	841769	2	1	1	1	2	1	1	1	1	2
696	888820	5	10	10	3	7	3	8	10	2	4
697	897471	4	8	6	4	3	4	10	6	1	4
698	897471	4	8	8	5	4	5	10	4	1	4

Most frequently occurring

	Sample code number	Clump Thickness	Uniformity of Cell Size	Uniformity of Cell Shape	Marginal Adhesion	Single Epithelial Cell Size	Bare Nuclei	Bland Chromatin	Normal Nucleoli	Mitoses	Class	# duplicates
0	320675	3	3	5	2	3	10	7	1	1	4	2
1	466906	1	1	1	1	2	1	1	1	1	2	2
2	704097	1	1	1	1	1	1	2	1	1	2	2
3	1100524	6	10	10	2	8	10	7	3	3	4	2
4	1116116	9	10	10	1	10	8	3	3	1	4	2
5	1198641	3	1	1	1	2	1	3	1	1	2	2
6	1218860	1	1	1	1	1	1	3	1	1	2	2
7	1321942	5	1	1	1	2	1	3	1	1	2	2

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Missing values

Sample

Duplicate rows

Most frequently occurring